Connecting firm's web scraped textual content to body of science: Utilizing microsoft academic graph hierarchical topic modeling

This paper demonstrates a method to transform and link textual information scraped from companies' websites to the scientific body of knowledge. The method illustrates the benefit of Natural Language Processing (NLP) in creating links between established economic classification systems with nov...

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Detalles Bibliográficos
Autores principales: Hajikhani, Arash, Pukelis, Lukas, Suominen, Arho, Ashouri, Sajad, Schubert, Torben, Notten, Ad, Cunningham, Scott W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914545/
https://www.ncbi.nlm.nih.gov/pubmed/35284247
http://dx.doi.org/10.1016/j.mex.2022.101650

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914545/
https://www.ncbi.nlm.nih.gov/pubmed/35284247
http://dx.doi.org/10.1016/j.mex.2022.101650

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